@inproceedings{Haumer, author = {Haumer, Anton}, title = {Modeling and Control Design of an Educational Magnetic Levitation System}, series = {Proceedings of the 15th International Modelica Conference 2023, Aachen, October 9-11}, booktitle = {Proceedings of the 15th International Modelica Conference 2023, Aachen, October 9-11}, publisher = {Link{\"o}ping University Electronic Press}, issn = {1650-3686}, doi = {10.3384/ecp204763}, abstract = {A magnetic levitation system is a perfect educational example of a nonlinear unstable system. Only with suitable control, a small permanent magnet can be held floating stable below a coil. After modeling and simulation of the system, control of the system can be developed. At the end, the control algorithm can be coded on a microcontroller, connected to a pilot plant.}, language = {en} } @article{GaertnerRankHeberletal., author = {G{\"a}rtner, Sebastian and Rank, Daniel and Heberl, Michael and Gaderer, Matthias and Dawoud, Belal and Haumer, Anton and Sterner, Michael}, title = {Simulation and Techno-Economic Analysis of a Power-to-Hydrogen Process for Oxyfuel Glass Melting}, series = {Energies}, volume = {14}, journal = {Energies}, number = {24}, publisher = {MDPI}, doi = {10.3390/en14248603}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-22713}, abstract = {As an energy-intensive industry sector, the glass industry is strongly affected by the increasingly stringent climate protection targets. As established combustion-based production systems ensure high process stability and glass quality, an immediate switch to low greenhouse gas emission processes is difficult. To approach these challenges, this work investigates a step-by-step integration of a Power-to-Hydrogen concept into established oxyfuel glass melting processes using a simulation approach. This is complemented by a case study for economic analysis on a selected German glass industry site by simulating the power production of a nearby renewable energy park and subsequent optimization of the power-to-hydrogen plant performance and capacities. The results of this study indicate, that the proposed system can reduce specific carbon dioxide emissions by up to 60\%, while increasing specific energy demand by a maximum of 25\%. Investigations of the impact of altered combustion and furnace properties like adiabatic flame temperature (+25 °C), temperature efficiency (∆ξ = -0.003) and heat capacity flow ratio (∆zHL = -0.009) indicate that pure hydrogen-oxygen combustion has less impact on melting properties than assumed so far. Within the case study, high CO2 abatement costs of 295 €/t CO2-eq. were determined. This is mainly due to the insufficient performance of renewable energy sources. The correlations between process scaling and economic parameters presented in this study show promising potential for further economic optimization of the proposed energy system in the future.}, language = {en} } @inproceedings{BrkicCeranElmoghazyetal., author = {Brkic, Jovan and Ceran, Muaz and Elmoghazy, Mohamed and Kavlak, Ramazan and Haumer, Anton and Kral, Christian}, title = {Open Source PhotoVoltaics Library for Systemic Investigations}, series = {Proceedings of the 13th International Modelica Conference, March 4-6, 2019, Regensburg, Germany}, booktitle = {Proceedings of the 13th International Modelica Conference, March 4-6, 2019, Regensburg, Germany}, publisher = {Link{\"o}ing University Electronic Press}, doi = {10.3384/ecp1915741}, pages = {41 -- 50}, abstract = {For the planning of photovoltaic power plants standard software tools are used. Most of these software tools use statistical solar data to determine the overall energy harvest of a photovoltaic plant over one year. The calculations rely on stationary location and ideal boundary conditions, e.g., constant ambient temperature. Even though, for example, shadowing may be considered by standard software, the investigation of untypical configurations and problems cannot be performed by such software, as most configurations cannot be changed by the user. The presented PhotoVoltaics library was developed with the intention to provide a flexible framework for standard and non-standard problems. Particularly, the PhotoVoltaics library can be coupled with other Modelica libraries to perform systemic investigations. An application library, PhotoVoltaics_TGM, is provided as add-on, where measured data of two photovoltaic pants of the TGM in Vienna can be compared with simulation results. This add-on library serves as validation of the PhotoVoltaics library.}, language = {en} } @inproceedings{AlexanderHaumer, author = {Alexander, Grimm and Haumer, Anton}, title = {Parametrization Of A Simplified Physical Battery Model}, series = {Proceedings of the 13th International Modelica Conference, March 4-6, 2019, Regensburg, Germany}, booktitle = {Proceedings of the 13th International Modelica Conference, March 4-6, 2019, Regensburg, Germany}, publisher = {Link{\"o}ing University Electronic Press}, doi = {10.3384/ecp19157215}, pages = {215 -- 220}, abstract = {The importance of batteries is increasing, especially in the field of the high power requirement systems like electric driven vehicles. Mobile energy storage makes it possible to accelerate with incredible torque, without any accruing air pollution. Due to the high costs of real components, it is of great use to simulate battery driven systems before building them. Transient processes within a cell are highly dependent on the operating point of the complete system, which makes it difficult to create equations and model arameterizations. This paper shows which data is important for cell modeling and how to parameterize simplified physical cell models.}, language = {en} } @inproceedings{GrimmHaumer, author = {Grimm, Alexander and Haumer, Anton}, title = {EMOTH The EMobility Library of OTH Regensburg}, series = {Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017}, booktitle = {Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017}, publisher = {Link{\"o}ping University Electronic Press}, doi = {10.3384/ecp17132285}, pages = {285 -- 290}, abstract = {The importance of E-Mobility is rapidly increasing, not only for private vehicle traffic but also for public transport. In and around Regensburg, Germany there are a lot of automotive companies. Therefore E-Mobility is an important topic in the curriculum of several courses of study at the East-Bavarian Technical University of Applied Sciences Regensburg (OTH). One Master of Applied Research student at OTH has chosen the topic to develop an open-source simulation tool for electric vehicles - the EMOTH Library - based on Modelica and to refine several aspects of the library during the one and a half year of the master course. After one semester, the basic version of the library is available and will be presented in this paper.}, language = {en} } @inproceedings{HaumerKral, author = {Haumer, Anton and Kral, Christian}, title = {Enhancements of Electric Machine Models: The EMachines Library}, series = {Proceedings of the 11th International Modelica Conference, Versailles, France, September 21-23, 2015}, volume = {118}, booktitle = {Proceedings of the 11th International Modelica Conference, Versailles, France, September 21-23, 2015}, publisher = {Link{\"o}ping University Electronic Press}, doi = {10.3384/ecp15118509}, pages = {509 -- 515}, abstract = {Transient models of multi phase electric machines are already implemented in the Modelica Standard Library (MSL). However, advanced effects like saturation and skin effect are not taken into account. As an extension to the MSL models, the new EMachines library is presented. This package will be released as a supplemental library to the commercial EDrives library. The particular focus of this paper is on the deep bar effect of induction machines. A comparison of simulation results demonstrates the influence of the skin effect on the operational behavior of the machines. At the end of this publication further developments of the EMachines library will be outlined.}, language = {en} } @inproceedings{EberhartChungHaumeretal., author = {Eberhart, Philip and Chung, Tek Shan and Haumer, Anton and Kral, Christian}, title = {Open Source Library for the Simulation of Wind Power Plants}, series = {Proceedings of the 11th International Modelica Conference, Versailles, France, September 21-23, 2015}, booktitle = {Proceedings of the 11th International Modelica Conference, Versailles, France, September 21-23, 2015}, address = {Link{\"o}ping}, doi = {10.3384/ecp15118929}, pages = {929 -- 936}, abstract = {This paper presents the new open source Modelica libraryWindPowerPlants. For the economic assessment of either a wind power plant or an entire wind park, the accurate prediction of the energy output is essential. Such prediction is usually performed by means of calculations based on statistical wind data. The proposed WindPowerPlants library is capable of assessing the energy output both for statistical and real wind data based on time domain simulations. In the presented version of the library wind turbine models are modeled with pitch control. The generator models have variable speed and an optional connector to the mains. The entire library is based on power balance conditions and losses are fully neglected. Yet, the library can be extended towards more detailed models considering different types of losses. The structure and components of the library are presented. Simulations examples are shown and compared with reference data. The applicability of the proposed WindPowerPlants library is demonstrated and possible enhancements are discussed.}, language = {en} } @article{KralHaumerLee, author = {Kral, Christian and Haumer, Anton and Lee, Sang Bin}, title = {A Practical Thermal Model for the Estimation of Permanent Magnet and Stator Winding Temperatures}, series = {IEEE Transactions on Power Electronics}, volume = {29}, journal = {IEEE Transactions on Power Electronics}, number = {1}, publisher = {IEEE}, issn = {1941-0107}, doi = {10.1109/TPEL.2013.2253128}, pages = {455 -- 464}, abstract = {A thermal model for the determination of the temperatures of interior permanent magnets and stator windings is presented in this paper. The innovation of the model relies on one temperature sensor being located in the stator core of the machine. Such sensor is simple to implement in many applications such as traction or EV, where reliability is critical. The estimated stator winding and permanent magnet temperatures are determined by a simplified thermal lumped element network model with only two time constants. It is shown that the proposed thermal model is very robust due to the structure of the model and the measured stator core temperature. The distortion of the temperature estimates caused by the cooling circuit is inherently accounted for such that the model can be used for robust online prediction of temperatures. Experimental results based on a forced water-cooled interior permanent magnet synchronous machine setup are presented to validate the effectiveness of the presented model.}, language = {en} } @inproceedings{KralHaumerWoehrnschimmel, author = {Kral, Christian and Haumer, Anton and W{\"o}hrnschimmel, Reinhard}, title = {Extension of the FundamentalWave Library towards Multi Phase Electric Machine Models}, series = {Proceedings of the 10th International Modelica Conference, March 10-12, 2014, Lund, Sweden}, booktitle = {Proceedings of the 10th International Modelica Conference, March 10-12, 2014, Lund, Sweden}, publisher = {Link{\"o}ping University Electronic Press}, isbn = {978-91-7519-380-9}, issn = {1650-3686}, doi = {10.3384/ecp14096135}, pages = {135 -- 143}, abstract = {Abstract Electric machine theory and electric machine simulations models are often limited to three phases. Up to the Modelica Standard Libray (MSL) version 3.2 the provided machine models were limited to three phases. Particularly for large industrial drives and for redundancy reasons in electric vehicles and aircrafts multi phase electric machines are demanded. In the MSL 3.2.1 an extension of the existing FundamentalWave library has been performed to cope with phase numbers greater than or equal to three. The developed machine models are fully incorporating the multi phase electric; magnetic; rotational and thermal domain. In this publication the theoretical background of the machines models; Modelica implementation details; the parametrization of the models and simulation examples are presented.}, language = {en} } @inproceedings{HaumerKral, author = {Haumer, Anton and Kral, Christian}, title = {The New EDrives Library: A Modular Tool for Engineering of Electric Drives}, series = {Proceedings of the 10th International Modelica Conference, March 10-12, 2014, Lund, Sweden}, booktitle = {Proceedings of the 10th International Modelica Conference, March 10-12, 2014, Lund, Sweden}, publisher = {Link{\"o}ping University Electronic Press}, isbn = {978-91-7519-380-9}, issn = {1650-3686}, doi = {10.3384/ecp14096155}, pages = {155 -- 163}, abstract = {Simulation is an indispensable tool for the engineering of systems containing electric drives. Depending on the design phase and the engineering task different levels of modeling details are required: proof of concept; investigation of energy and power consumption; design of control; etc. The new EDrives library provides three levels of abstraction for inverters: quasi static (neglecting electrical transients); averaging (neglecting switching effects) and switching - for serving different demands. The inverters can feed the machine models of the Modelica Standard Library: Modelica.Magnetic.FundamentalWave and the new Modelica.Magnetic.QuasiStatic.FundamentalWave. The EDrives library copes with arbitrary phase numbers and can be easily extended to develop new control algorithms. In this publication the structure of the library and the implemented control principles are presented. Furthermore; examples comparing the three different levels of abstraction are included.}, language = {en} }